Objective To estimate the prevalence of depressive symptoms among residents in Panzhihua City and explore the influence of living environment on local residents' depressive symptoms.
Methods A total of 1 762 valid self-administered health assessment questionnaires were collected from residents selected by stratified multi-stage random sampling techniques in Panzhihua City. The questionnaires included demographic characteristics, depression measurement, and living environment assessment. The depressive symptoms were assessed with Patient Health Questionnaire (PHQ-9) which was used to detect the frequency of depressive symptoms and social function damage in the past two weeks. The assessment of living environment included four parts: accessibility to public places, level of public service, security of community, and quality of community environment. Chi-square test and logistic regression were used to analyze the influence of demographic characteristics and living environment on depressive symptoms.
Results Of the 1 762 residents surveyed, the average age was (37.4& #177;15.8) years; men accounted for 42.4% and women accounted for 57.6%. The detection rate of depressive symptoms was 52.4%. The results of multi-factor analysis showed that after adjusted for demographic characteristics, those with better accessibility to public places had lower odds of depressive symptoms compared with those with worse accessibility odds ratio (OR)=0.56, 95% CI: 0.43-0.72; those without security problems had lower odds of depressive symptoms compared with those having seurity problems (OR=0.53, 95% CI: 0.39-0.71); those living in better community environment had lower odds of depressive symptoms compared with those living in worse community environment (OR=0.48, 95% CI: 0.35-0.65).
Conclusion The detection rate of depressive symptoms among the local residents is relatively high. Living environment shows influence on depressive symptoms, and good living environment could be a protection factor of depressive symptoms.
DownLoad: